Sr. Data Scientist, R&D

About PulsePoint:

PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous.

Description

Our Data & Analytics team is at the very heart of what makes PulsePoint an innovative, fast-paced and market changing company.

Our path forward is through data and this team is in the driver seat for the journey.

The Big Picture :

You will build, deliver & continually innovate on PulsePoint's insightful data-driven solutions. Your efforts help alleviate friction points and streamline processes that enable internal teams to provide exceptional service, powering the decisions of our customers.

As a Sr. Data Scientist , you will be given a large data set, query the data, explore the data, and come up with solutions (build models, ML, etc). You can work fully remotely in India, and we will provide you with a company-issued laptop. This is a FTE role.

In short, you will be the conduit through which we will revolutionize health decisions through real time data.

Specifically, here’s some things we’ll want you to get done:

1. Data science & stats-related projects
2. Help us design and define the methodology for our measurement products and user identification
3. Continuously improve quality of HCP onboarding/Targeting/measurement
4. Audience IQ/DTC product development, Identity graph/Data IQ
5. Research & implement new data products or capabilities
6. Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities for business teams and report the findings in a simple, compelling way
7. Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting or measurement
8. Act as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshoot

Requirements

Required qualifications:

• 3-5+ years of relevant experience in:
• Creating SQL queries from scratch using real business data;
• Data analysis & manipulation
• Strong stats background and statistical modeling experience
• Python
• Willing and able to work 2:30pm-11:30pm IST, you can work fully remotely

Preferred qualifications:

• Able to organize large data sets to answer critical questions, extrapolate trends, and tell a story
• Experience in Programmatic/Adtech
• Familiarity with health-related data sets
• Project Management skills

Watch this video here to learn more about our culture and get a sense of what it’s like to work at PulsePoint

Comp Structure & Benefits:

• Comp structure: 24-40 LPA fixed (inclusive of PF, Gratuity, and a 25k INR medical premium) + a target annual bonus that is approximately 5% of the gross annual earnings. Note that we don’t offer stock options.
• Time Off: 21 PTOs + 9 company-wide holidays + 1 flexible holiday
• Health Insurance Policy (Self & Family): Every employee and their immediate family are covered under Health Insurance Policy worth INR. 500,000
• Term Life Insurance & Personal Accidental Insurance : Every employee is covered under Term Life Insurance and Personal Accident Insurance Policy worth INR. 25,00,000/- each

What are ‘red flags’ for us :

Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics.

Selection Process :

1. SQL test (40 mins)
2. Intro call with recruiter (15 mins)
3. Hiring manager call (45 mins)
4. Calls with SVP of Data and Sr. Director of Data (30 mins each)
5. Call with Sr. Data Scientist (30 mins)